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Which module should you use?

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You have a dataset that contains a column named Column1. Column1 is empty.
You need to omit Column1 from the dataset. The solution must use a native module.
Which module should you use?

PrepAway - Latest Free Exam Questions & Answers

A.
Execute Python Script

B.
Tune Model Hyperparameters

C.
Normalize Data

D.
Select Columns in Dataset

E.
Import Data

F.
Edit Metadata

G.
Clip Values

H.
Clean Missing Data

Explanation:
https://msdn.microsoft.com/en-us/library/azure/dn905883.aspx

2 Comments on “Which module should you use?

  1. tim.mend says:

    Select Columns in Dataset:
    – use this module to select columns to either include or exclude from the experiment.

    Select Column Transform:
    – this module is used to select and use a consistent set of columns in downstream ml operations
    – used to create and save a set of columns
    – *use this module to capture column selections, save and use them else where in the experiment.




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